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KONDEVS Content Hub

List KONDEVS services

list_services
Read-onlyIdempotent

List the consulting services KONDEVS offers, with what a buyer asks about each. Per service: slug, title, summary, technologies and url; kicker (its focus), fit (when to choose it), former_name where it had one, capabilities (what is delivered), key_takeaways and faq, a one-line proof, and where its page has them track_record (client, sector, scope and stack of each named project, with the note that references are available on request) and in_production.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_services"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoThe language of the content: "en" (default, the English site) or "de" (the German site under /de/).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is covered. The description then adds genuine value beyond them by enumerating what comes back and flagging conditional fields — former_name "where it had one" and track_record "where its page has them." That conditional framing tells the agent to expect absent keys rather than errors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and scope are front-loaded in the first clause, followed by a dense field inventory. The long run-on list of fields is heavy but every clause maps to returned content, so it earns its space given there is no output schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the field enumeration is doing real work and covers the return shape thoroughly, including conditional and nested sub-fields of track_record. Minor gaps remain: no indication of result volume, and the lang parameter's effect on the content is left entirely to the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with a single enum-constrained lang parameter, so the schema fully carries parameter meaning. The description never mentions lang or language selection, adding nothing on top. Baseline 3 applies when the schema does all the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource ("List the consulting services KONDEVS offers") and immediately scopes the payload to "what a buyer asks about each." The resource (services) is unambiguous against the sibling tools (get_article, get_company_info, search_articles), which operate on entirely different objects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the resource: this is the overview call for the services catalog. However, the description never says when to reach for it versus alternatives, gives no prerequisites, and names no sibling. Nothing is misleading, but nothing actively guides selection either.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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